Legislating AI And IP In Malaysia: A Sustainable Governance Framework For Fair Remuneration

Mohd Syaufiq Abdul Latif, Nazura Abdul Manap

Abstract


Artificial intelligence is changing industries and raising important questions about fair compensation for intellectual property owners when their work is used by AI systems. Existing research has focused on global AI regulations, particularly the European Union AI Act, but there has been little examination of how these frameworks compare to Malaysia’s National Guidelines on AI Governance and Ethics. This study hence explores the legal and governance challenges related to AI’s use of copyrighted works and patented inventions in Malaysia, where current laws struggle to address issues of authorship, inventorship, and fair remuneration. Analyzing these differences highlights gaps in transparency, enforcement, and accountability in Malaysia’s AI governance. This study uses a qualitative legal research approach, reviewing policy frameworks, legal cases, and comparative governance models to propose a sustainable legal framework for AI in Malaysia. The findings suggest that regulatory shortcomings must be addressed through clearer legal provisions, stronger enforcement mechanisms, and structured remuneration models to support AI-driven innovation while protecting the rights of IP owners. The study contributes to the discussion on AI governance by offering policy recommendations that balance technological progress with the protection of intellectual property in Malaysia’s growing digital economy.


Keywords


AI Governance, Intellectual Property, Copyright, Patents, EU AI Act, National Guidelines on AI Governance and Ethics, Fair Remuneration.

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References


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